Jeff Willette
Research Scientist at NVIDIA
United States
Summary
👤
Senior🎓
Top SchoolJeff Willette is a research scientist with a decade of software and AI experience, currently at NVIDIA after completing a PhD in Artificial Intelligence at KAIST. His published work spans NeurIPS, ICML, ICLR, and CVPR on topics including efficient transformers, self-supervised learning, permutation-invariant networks, meta-learning, and uncertainty quantification. He combines deep academic rigor with practical engineering—contributing backend and automation improvements to open-source tooling like the ALE linter ecosystem, adding language support and complex fixers for Go and JavaScript. Jeff’s background uniquely blends technical research with communication skills from an earlier business communications degree, enabling him to translate cutting-edge ML research into robust tooling and production-ready systems.
10 years of coding experience
Bachelor's Degree, Business/Corporate Communications, Bachelor's Degree, Business/Corporate Communications at Arizona State UniversityDoctor of Philosophy, Artificial Intelligence, Doctor of Philosophy, Artificial Intelligence at Korea Advanced Institute of Science and Technology
Github Skills (15)
vim10
linter10
linting10
go10
eslint10
lint10
build-automation9
automated-build9
autobuild9
language-server-protocol9
automation9
automations9
javascript9
release-automation9
autocomplete7
Programming languages (17)
Github contributions (5)
dense-analysis/ale
Aug 2017 - Jul 2021
Check syntax in Vim/Neovim asynchronously and fix files, with Language Server Protocol (LSP) support
Role in this project:
Backend & Automation Engineer
Backend & Automation EngineerContributions:11 PRs, 51 comments, 8 issues in 4 years
Contributions summary:Jeff significantly contributed to the project by adding and improving linters and fixers for various languages, including Go and JavaScript, within the ALE ecosystem. Their work involved implementing new features like support for `proto` files and `goimports` fixers, as well as refactoring existing components to handle more complex linting and fixing workflows. The user also focused on enhancing the integration with tools like `gometalinter` and `importjs`, and also improved build process integrations.
lintervimcheckerneovimautocomplete
jeffwillette/jeffwillette.github.io.src
Dec 2018 - Jul 2020
source code for deltaskelta.github.io
Contributions:163 commits, 90 pushes, 3 branches in 1 year 7 months
react
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